Machine Learning Engineer
Stripe
Machine Learning Engineer at Stripe is a full time role based in South San Francisco, CA, United States. The listing states pay of $212k–$318k. It was published on 17 August 2026 and was open at last check.
| Role | Machine Learning Engineer |
|---|---|
| Company | Stripe |
| Location | South San Francisco, CA, United States |
| Employment type | Full Time |
| Pay (as listed) | $212k–$318k |
| Published | 17 August 2026 |
| Status | Open at last check |
Who we are
About Stripe
Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
What you’ll do
Responsibilities
- Design state-of-the-art ML models and large-scale ML systems for underwriting and portfolio management for Stripe Capital based on ML principles, domain knowledge, risk, regulatory and engineering constraints.
- Design systems to speed up the time from idea to deployment of new models.
- Experiment and iterate on ML models (using tools including PyTorch and TensorFlow) to achieve key business goals and drive efficiency.
- Develop pipelines and automated processes to train and evaluate models in offline and online environments.
- Integrate ML models into production systems and ensure their scalability and reliability.
- Collaborate with product and strategy partners to propose, prioritize, and implement new product features.
- Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions.
Who you are
Minimum requirements
Must have a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field, plus two (2) years of experience in Building and shipping ML systems in production.
Must have two (2) years of experience in each of the following:
- ML algorithms and model architectures;
- Designing, training and evaluating machine learning models;
- Productionizing and deploying machine learning models at scale;
- Orchestrating data pipelines and leveraging large-scale datasets; and
- Building and deploying ML models to solve business problems.
Must have one (1) year of experience in each of the following:
- ML libraries and frameworks including PyTorch, TensorFlow, XGBoost or Spark; and
- Deep learning, including transformers, test-time compute, or reinforcement learning.
Salary: $212,000 - $318,000/yr.
This salary range represents the base salary range for the role and any sales commissions / sales bonuses targets, if applicable, would be in addition to the base salary.
40 hrs/week
50% Telecommuting Permitted.
Multiple Positions Available.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. CA29
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Create your free OnJob profile to apply — we'll take you to Stripe's application after sign-up. · Posted 17 Aug 2026.
Machine Learning Engineer at Stripe — questions answered
What does the Machine Learning Engineer role at Stripe pay?
The Machine Learning Engineer at Stripe listing states pay of $212k–$318k for the South San Francisco, CA, United States position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles.
Where is the Machine Learning Engineer role at Stripe based?
Stripe lists this Machine Learning Engineer role in South San Francisco, CA, United States, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Stripe before you apply.
Is the Machine Learning Engineer role at Stripe still open?
The Machine Learning Engineer posting at Stripe was open at OnJob's last check of the employer's careers page, having been published on 17 August 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Machine Learning Engineer role at Stripe?
Apply to the Machine Learning Engineer at Stripe role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile to Stripe's own application page. Creating a profile is free and needs no card.
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